Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98548
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dc.contributorDepartment of Applied Mathematicsen_US
dc.contributorSchool of Nursingen_US
dc.creatorMusa, SSen_US
dc.creatorZhao, Sen_US
dc.creatorGao, Den_US
dc.creatorLin, Qen_US
dc.creatorChowell, Gen_US
dc.creatorHe, Den_US
dc.date.accessioned2023-05-10T02:00:13Z-
dc.date.available2023-05-10T02:00:13Z-
dc.identifier.issn0022-5193en_US
dc.identifier.urihttp://hdl.handle.net/10397/98548-
dc.language.isoenen_US
dc.publisherAcademic Pressen_US
dc.rights© 2020 Elsevier Ltd. Al lrights reserved.en_US
dc.rights© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Musa, S. S., Zhao, S., Gao, D., Lin, Q., Chowell, G., & He, D. (2020). Mechanistic modelling of the large-scale Lassa fever epidemics in Nigeria from 2016 to 2019. Journal of theoretical biology, 493, 110209 is available at https://doi.org/10.1016/j.jtbi.2020.110209.en_US
dc.subjectLassa feveren_US
dc.subjectMechanistic modellingen_US
dc.subjectStability analysisen_US
dc.subjectData fittingen_US
dc.titleMechanistic modelling of the large-scale Lassa fever epidemics in Nigeria from 2016 to 2019en_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume493en_US
dc.identifier.doi10.1016/j.jtbi.2020.110209en_US
dcterms.abstractLassa fever, also known as Lassa hemorrhagic fever, is a virus that has generated recurrent outbreaks in West Africa. We use mechanistic modelling to study the Lassa fever epidemics in Nigeria from 2016-19. Our model describes the interaction between human and rodent populations with the consideration of quarantine, isolation and hospitalization processes. Our model supports the phenomenon of forward bifurcation where the stability between disease-free equilibrium and endemic equilibrium exchanges. Moreover, our model captures well the incidence curves from surveillance data. In particular, our model is able to reconstruct the periodic rodent and human forces of infection. Furthermore, we suggest that the three major epidemics from 2016-19 can be modelled by properly characterizing the rodent (or human) force of infection while the estimated human force of infection also present similar patterns across outbreaks. Our results suggest that the initial susceptibility likely increased across the three outbreaks from 2016-19. Our results highlight the similarity of the transmission dynamics driving three major Lassa fever outbreaks in the endemic areas.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of theoretical biology, 21 May 2020, v. 493, 110209en_US
dcterms.isPartOfJournal of theoretical biologyen_US
dcterms.issued2020-05-21-
dc.identifier.scopus2-s2.0-85080866611-
dc.identifier.pmid32097608-
dc.identifier.eissn1095-8541en_US
dc.identifier.artn110209en_US
dc.description.validate202305 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberAMA-0170-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS20440548-
dc.description.oaCategoryGreen (AAM)en_US
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